An efficient Reverse Distribution System for solving sustainable supply chain network design problem

Pop, Petrică C.; Pintea, Camelia-Mihaela; Sitar, Corina Pop; Hajdu-Macelaru, Mara

doi:10.1016/j.jal.2014.11.004

Cited by 34 publications

(11 citation statements)

References 4 publications

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“…Pop et al [31] presented a reverse distribution system to design a sustainable distribution network. They applied the nearest neighbor method as well as an innovative method premised on capacity of distribution centers and demand for supply.…”

Section: Literature Reviewmentioning

confidence: 99%

A Combined Benders Decomposition and Lagrangian Relaxation Algorithm for Optimizing a Multi-Product, Multi-Level Omni-Channel Distribution System

et al. 2020

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The development of supply chain distribution systems from single-to multi-channel networks for delivering items to end customers has effected many changes in the retail sector. Following the adoption of multi-channel distribution strategies and rapid development of relevant technologies, the Omni-channel approach can yield significant benefits and facilitate trade with customers. This paper aims to optimize a multi-product, multi-level Omni-channel distribution network and shipping flows of products within the network under uncertain conditions. A multi-objective mathematical model is developed that minimizes the costs of supply chain while maximizing customer satisfaction over different scenarios. In order to solve the proposed model, a combined algorithm is developed based on Benders Decomposition (BD) and Lagrangian Relaxation (LR). The presented model and solution approach is implemented in a case study of a distribution system, a large e-commerce startup and online store. Five different scenarios with various service levels are investigated and the numerical results are discussed compared to previous findings. The efficiency of the proposed combined BD-LR solution algorithm is also demonstrated. The results obtained from the case study show that higher service levels are correlated with higher levels of customer satisfaction and lower cost of the system.

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Section: Literature Reviewmentioning

confidence: 99%

A Combined Benders Decomposition and Lagrangian Relaxation Algorithm for Optimizing a Multi-Product, Multi-Level Omni-Channel Distribution System

et al. 2020

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“…Furthermore, they indicate that SSCM and CLSCM are examined differently according to the preferred research methodologies. A variety of papers studies SSCM or GSCM from only forward logistics perspective [3,7,10,31], while some consider SSCM as the combination of reverse and forward logistics flows [2,20,[50][51][52]. Additionally, various papers in the literature acknowledge that closing the loop with reverse logistics is a green practice [19,25,45,46,53,54].…”

Section: Closed-loop Supply Chain Managementmentioning

confidence: 99%

“…The articles that focus on low-carbon logistics are studied as a subfield of GSCM, SSCM, or CLSCM [52,[58][59][60]. Figures 7c, 8c and 9c reflect the scope of SSCM, GSCM, and CLSCM practices.…”

Section: Low-carbon Logistics and Waste Managementmentioning

confidence: 99%

Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey

et al. 2017

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Abstract:Growing environmental awareness coupled with stricter governmental regulations has fueled the need for integrating sustainability into supply chain and logistics activities. Accordingly, recent studies in the literature have emphasized the significance of environmentally concerned logistics operations (ECLO). Research in the broad area of ECLO encompasses a wide range of topics including sustainable supply chain, green supply chain, closed-loop supply chain, low-carbon logistics, and waste management. In this paper, a comprehensive content analysis and area review is presented. Over 800 papers published between 1994 and 2017 in peer-reviewed journals, proceedings, and book chapters are utilized. These papers are analyzed in consecutive stages after being reviewed under a structural dimension process that addresses the fields of environmentally concerned logistics operations. Following the state-of-the-art review, a detailed analysis of ECLO research with a special emphasis on fuzzy applications is provided. The findings clearly indicate that the fuzzy multi-criteria decision making technique is a frequently used hybrid method, whereas fuzzy sets theory and other fuzzy hybrid techniques identify a gap in the related literature. This paper provides further critical analysis and other research suggestions in order to clarify these gaps and offer additional research perspectives. This information may provide extensive data that will enable future researchers to fill these gaps within this field.

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“…Ahn et al [28] developed a deterministic mathematical programming problem for strategic planning design of a Microalgae Biomassto-Biodiesel Supply Chain Network (MBBSCN) from feedstock elds to end users that met resource, demand, and technology constraints over a long-term period. Pop et al [29] proposed an e cient reverse distribution system for solving sustainable supply chain network design problem and discussed the results using a realworld case study. Yolmeh and Salehi [30] proposed an outer approximation method for integration of supply chain network designing and assembly line balancing under uncertainty.…”

Section: Introductionmentioning

confidence: 99%

“…Moving the colonies toward their imperialists according to a random variable of uniform distribution with regard to the distance between each colony and its imperialist (Eq. (28)) and considering a deviation in the movement (Eq (29)…”

mentioning

confidence: 99%

Optimizing supply chain network design with location-inventory decisions for perishable items: A Pareto-based MOEA approach

Rashidi¹,

Saghaei²,

Sadjadi³

et al. 2016

Scientia Iranica

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In this paper, a bi-objective mathematical model is presented to optimize supply chain network with location-inventory decisions for perishable items. The goal is to minimize total cost of the system, including transportation cost of perishable items from hub center into DCs and from DCs to ultimate centers, transportation cost of unusual orders, and xed cost of centers as DCs, as well as demand unresponsiveness. Considering special conditions for holding items and regional DCs, and determining average lifetime for the items assigned to centers are other features of the proposed model. With regard to complexity of the proposed model, a Pareto-based meta-heuristic approach, called Multi-Objective Imperialist Competitive Algorithm (MOICA), is presented to solve it. To demonstrate performance of the proposed algorithms, two well-developed multiobjective algorithms based on genetic algorithm, including Non-dominated Ranked Genetic Algorithm (NRGA) and Non-dominated Sorting Genetic Algorithm (NSGA-II), are applied. In order to analyze the results, several numerical illustrations are generated; then, the algorithms are compared both statistically and graphically. Analysis of the results shows the robustness of MOICA to nd and manage Pareto solutions.

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An efficient Reverse Distribution System for solving sustainable supply chain network design problem

Cited by 34 publications

References 4 publications

A Combined Benders Decomposition and Lagrangian Relaxation Algorithm for Optimizing a Multi-Product, Multi-Level Omni-Channel Distribution System

A Combined Benders Decomposition and Lagrangian Relaxation Algorithm for Optimizing a Multi-Product, Multi-Level Omni-Channel Distribution System

Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey

Optimizing supply chain network design with location-inventory decisions for perishable items: A Pareto-based MOEA approach

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